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jam_with

Analyzes your current pattern to detect tempo, key, and existing layers, then generates a complementary musical layer (drums, bass, melody, pad, or texture) to expand your jam.

Instructions

AI generates a complementary layer to jam with your pattern. Analyzes current pattern to detect tempo, key, and existing layers, then generates a matching layer that fits musically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
layerYesType of layer to add: drums, bass, melody, pad, or texture
style_hintNoOptional style guidance (e.g., "funky", "minimal", "atmospheric")
auto_playNoStart playback after adding layer (default: true)
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It discloses analysis of tempo, key, and layers, but lacks details on side effects (e.g., whether it modifies the pattern, if it's destructive, or what happens if analysis fails). Some behavioral context is given but insufficient for full transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences that are front-loaded with purpose and followed by details. No extraneous words; every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 3 parameters, no output schema, and no annotations, the description explains core functionality well. It mentions analysis and generation but lacks specifics on state changes (e.g., whether the layer is added immediately). Slight gap but overall adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has 100% coverage, providing basic descriptions for each parameter. The tool description adds no additional meaning beyond the schema, such as how 'style_hint' influences generation. Baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool generates a complementary layer by analyzing the current pattern, using specific verbs and resource. It distinguishes from siblings like 'generate_drums' or 'generate_bassline' by emphasizing adaptation to the existing pattern for jamming.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use when adding a layer that musically fits the current pattern, but does not explicitly state when not to use or compare to alternatives. With many sibling generation tools, clearer guidance on selection would improve this dimension.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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